?? Unraveling Correlations in Movie Data with Python! ??

Hello LinkedIn community! ?? Excited to share my recent journey into the intricate world of movie data correlations using Python! ????

?? Exploring Connections:

• ?? Movie Budget & Gross Revenue: Explored the financial side and found positive correlations between production budgets and box office performance.
• ?? Votes & Movie Budget: Discovered interesting insights into how votes relate to a movie's popularity.
• ???? Movie Company & Box Office Success: In the realm of the movie industry, the conventional assumption posits a direct correlation between a company's success and the revenue generated by its movies. However, a closer examination reveals a nuanced landscape that challenges this notion.

?? Python Magic at Play:

Utilized Python's data wizardry with Jupyter Notebook, and visualized correlations using Matplotlib and Seaborn. Dive into a snippet of the magic below!

Aha moment!!

I gained a new perspective on learning to categorize non-numerical (Object) data into numeric values.

?? What Correlation Surprises You?

I'd love to hear your thoughts! Drop a comment with your take on movie data correlations or any correlations you'd like to see in the future.

Data Source: https://www.kaggle.com/datasets/danielgrijalvas/movies

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